Robust face recognition based on motion pursuit

Ruoyu Roy Wang, Thomas S Huang, Peter Stubler, Rajiv Mehrotra

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Robust face recognition is an important research area that has a great impact in the field of surveillance and human-computer interactions in general. This paper addresses how the concept of motion pursuit can bridge the alignment information with imagery similarities to form a joint decision for the purpose of robust face recognition. More explicitly, we perform multi-scale correspondence matching in a wavelet domain and utilize a simple motion measure in conjunction with wavelet response matching to form a discriminative face similarity measure. We demonstrate the efficacy of the proposed approach with a large consumer image database of diverse image capture conditions.

Original languageEnglish (US)
Title of host publicationProceedings - 2002 IEEE International Conference on Multimedia and Expo, ICME 2002
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages153-156
Number of pages4
ISBN (Electronic)0780373049
DOIs
StatePublished - Jan 1 2002
Event2002 IEEE International Conference on Multimedia and Expo, ICME 2002 - Lausanne, Switzerland
Duration: Aug 26 2002Aug 29 2002

Publication series

NameProceedings - 2002 IEEE International Conference on Multimedia and Expo, ICME 2002
Volume2

Other

Other2002 IEEE International Conference on Multimedia and Expo, ICME 2002
CountrySwitzerland
CityLausanne
Period8/26/028/29/02

ASJC Scopus subject areas

  • Archaeology
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Robust face recognition based on motion pursuit'. Together they form a unique fingerprint.

Cite this